Indoor Tracking with Bluetooth Low Energy Devices Using K-Nearest Neighbour Algorithm

Koon Kee Lie, Kwok Shien Yeo, Alvin Kee Ngoh Ting, David Heng Tze Chieng

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper we discuss the design of an indoor positioning system (IPS) using Bluetooth Low Energy (BLE) scanners and beacons. We deployed the prototype system in a laboratory where its dimension is measured at 990⨯770cm2, Range test has been carried out to study the relationship between distance and Received Signal Strength (RSSI) of the BLE devices. Using the highest RSSI values received from 3 of the scanners, we use K-Nearest Neighbour algorithm to predict the region where the beacon is possibly located. We further demonstate that our system is able to estimate the location region of the target beacon with good accuracy.

Original languageEnglish
Title of host publicationISCAIE 2020 - IEEE 10th Symposium on Computer Applications and Industrial Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages155-159
Number of pages5
ISBN (Electronic)9781728150338
DOIs
Publication statusPublished - Apr 2020
Externally publishedYes
Event10th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2020 - Virtual, Malaysia
Duration: 18 Apr 202019 Apr 2020

Publication series

NameISCAIE 2020 - IEEE 10th Symposium on Computer Applications and Industrial Electronics

Conference

Conference10th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2020
Country/TerritoryMalaysia
CityVirtual
Period18/04/2019/04/20

Keywords

  • Bluetooth Low Energy
  • Indoor tracking
  • K-Nearest Neighbour
  • localization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Industrial and Manufacturing Engineering

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